---
base_model: OFA-Sys/chinese-clip-vit-base-patch16
tags:
- generated_from_trainer
model-index:
- name: aoi_clip_clean_new_sampler_fomula_clean
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/shark_meow_team/huggingface/runs/zdl4l723)
# aoi_clip_clean_new_sampler_fomula_clean

This model is a fine-tuned version of [OFA-Sys/chinese-clip-vit-base-patch16](https://huggingface.co/OFA-Sys/chinese-clip-vit-base-patch16) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8862

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 40
- eval_batch_size: 44
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 60.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.4122        | 6.0   | 8874  | 3.9394          |
| 2.2167        | 12.0  | 17748 | 4.1647          |
| 2.0965        | 18.0  | 26622 | 4.4300          |
| 2.0238        | 24.0  | 35496 | 4.5740          |
| 1.9938        | 30.0  | 44370 | 4.6265          |
| 1.973         | 36.0  | 53244 | 4.6714          |
| 1.9583        | 42.0  | 62118 | 4.7931          |
| 1.9466        | 48.0  | 70992 | 4.7913          |
| 1.9415        | 54.0  | 79866 | 4.8448          |
| 1.9369        | 60.0  | 88740 | 4.8862          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1